Forecasting Page: 1

1. Accumulation of old forecasts into future periods (76 product(s) support this feature)
2. Adjusts forecasts according to fluctuating demand using adaptive or exponential smoothing moving average and weighted moving average (74 product(s) support this feature)
3. Aggregate forecasts break down into specific forecasts at unit level (77 product(s) support this feature)
4. Analyzes performance by comparing forecasted demand to actual demand by period or product aggregate specified by user (79 product(s) support this feature)
5. Classifies and orders demand structure from product family level to product unit detail (76 product(s) support this feature)
6. Compares actual service levels to service levels specified in policies (75 product(s) support this feature)
7. Compares forecast demand performance to historical sales data (80 product(s) support this feature)
8. Conducts simulation to test policies (75 product(s) support this feature)
9. Confidence factors incorporated into forecasting model (74 product(s) support this feature)
10. Creates demand forecasting units for a product line or a group of product lines that may not correspond to physical stocking locations (75 product(s) support this feature)
11. Creates what-if scenarios for a product to test alternate scenarios or models (76 product(s) support this feature)
12. Customizable forecast periods ranges of tolerance data points and data presentation (74 product(s) support this feature)
13. Demand forecast breaks down according to discrete profiles (75 product(s) support this feature)
14. Displays actual and forecast demand by customizable period (80 product(s) support this feature)
15. Estimates percentage of future demand based on existing data for item-level components (73 product(s) support this feature)
16. Evaluates forecast models for accuracy based on historical data (74 product(s) support this feature)
17. Flags violations of demand thresholds at product unit level (76 product(s) support this feature)
18. Forecast is adjusted automatically according to information on selling patterns which is received by electronic transmissions (77 product(s) support this feature)
19. Forecast percentage included in forecast calculation (73 product(s) support this feature)
20. Generates consolidated forecasts by part number and covering all facilities (77 product(s) support this feature)
21. Generates demand forecasts (76 product(s) support this feature)
22. Generates detailed forecasts by item number or SKU that can be aggregated (78 product(s) support this feature)
23. Generates different forecasts according to various demand hypotheses (77 product(s) support this feature)
24. Generates initialization and control reports to create and evaluate forecasts (78 product(s) support this feature)
25. Generates initialization or simulation reports for safety stock (78 product(s) support this feature)
26. Generates product family forecasts by rolling up detailed forecasts for items that are related (78 product(s) support this feature)
27. Generates statistical or focus forecasts automatically to update inventory (75 product(s) support this feature)
28. Imports forecast data from spreadsheet (79 product(s) support this feature)
29. Matches forecast model to selected historical data (77 product(s) support this feature)
30. Measures accuracy of forecasts adjusted or unadjusted (75 product(s) support this feature)
31. Model takes demand anomalies into consideration (76 product(s) support this feature)
32. Monitors high quantity demand signals (73 product(s) support this feature)
33. Multilevel aggregating or disaggregating (72 product(s) support this feature)
34. Overwrites or consolidates forecasts at item level (77 product(s) support this feature)
35. Permits variable length periods for demand data (79 product(s) support this feature)
36. Provides details of items in product group forecasts to create more detailed forecasts (77 product(s) support this feature)
37. Provides mean absolute deviation MAD to use when calculating safety stock (73 product(s) support this feature)
38. Sends signals to users when forecast has errors or an activity is not within threshold levels (72 product(s) support this feature)
39. Tracks accuracy of forecasted quantities by comparing planned and actual data (77 product(s) support this feature)
40. Tracks demand fluctuations caused by extraneous events (78 product(s) support this feature)
41. User-defined analysis periods (80 product(s) support this feature)
42. User-defined component level forecast (73 product(s) support this feature)
43. User-defined data aggregation grouping by sales region product line or customer (79 product(s) support this feature)
44. User-defined normal seasonal and promotional demand (78 product(s) support this feature)
45. Users can create forecasts by demand class by item by customer by product family by model and by option classes (75 product(s) support this feature)
46. Users can create forecasts for each item included in a multi-level bill of materials (77 product(s) support this feature)
47. Users specify stock-keeping units SKU and demand forecasting units DFU to use in demand forecasting (76 product(s) support this feature)
48. Uses beta factor to resolve forecasting errors (73 product(s) support this feature)
49. Uses forecasting algorithms to generate several forecasts for an item to generate the ideal forecast according to historical data (76 product(s) support this feature)
50. Uses sales history or demand pattern data of existing products to create forecast for new similar items (75 product(s) support this feature)